Evidence map›Paper›PMID 41732160›Full record

ArticleCerebral circulation - cognition and behavior2026

Evaluation of cerebrovascular reactivity impairment using resting-state BOLD MRI in symptomatic patients with unilateral intracranial artery occlusion.

Yi Shan, Ya-Yan Yin, Bi-Xiao Cui, Shao-Zhen Yan, Yue Zhang, Bin Yang, Yan Ma, Jie Lu

Abstract read
In one paragraph

Article in Cerebral circulation - cognition and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yi ShanBeijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing 100053, China.
Ya-Yan YinBeijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing 100053, China.
Bi-Xiao CuiBeijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing 100053, China.
Shao-Zhen YanBeijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing 100053, China.
Yue ZhangBeijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing 100053, China.
Bin YangDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Yan MaDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Jie LuBeijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing 100053, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Cerebral vascular reactivity (CVR) is an independent predictor of poor prognosis for patients with symptomatic middle cerebral artery (MCA)/internal carotid artery (ICA) occlusion. This study assessed CVR impairment using resting-state blood oxygenation level-dependent (RS BOLD) MRI in this population and aimed to identify feasible pre-surgical markers. Methods: The study included 45 patients with symptomatic unilateral MCA/ICA occlusion and 20 healthy controls. Of these, 16 underwent extracranial-intracranial (EC-IC) bypass with follow-up MRI. RS BOLD data were collected using a 3.0 T PET/MR system. Voxel-wise CVR maps were computed with a general linear model, and the mean CVR in the MCA perfusion territory was calculated. Interhemispheric CVR asymmetry index (CVR-AI) was assessed. Group differences were analyzed, and ROC analysis was used to evaluate CVR's diagnostic performance. Pearson correlation was used to assess relationships between baseline CVR and post-surgical changes. Results: Affected-side CVR was significantly lower compared to the contralateral side and controls ( Conclusion: This study proposes CVR-AI as a novel imaging marker for pre-surgical evaluation in patients with unilateral intracranial arterial occlusion.

Indexed as

Carotid artery occlusionCerebrovascular reactivityMiddle cerebral arteryResting-state blood oxygenation level-dependent imaging

Identifiers

PMID41732160
PMCPMC12924725

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.